- 2023
- Raed Abdallah, Hassan Harb, Yehia Taher, Salima Benbernou, Rafiqul Haque:
CRIMEO: Criminal Behavioral Patterns Mining and Extraction from Video Contents. DSAA 2023: 1-8 - Ameeta Agrawal, Lisa Singh, Elizabeth Jacobs, Yaguang Liu, Gwyneth Dunlevy, Rhitabrat Pokharel, Varun Uppala:
All Translation Tools Are Not Equal: Investigating the Quality of Language Translation for Forced Migration. DSAA 2023: 1-10 - Nourhan Ahmed, Lars Schmidt-Thieme:
Sparse Self-Attention Guided Generative Adversarial Networks for Time-Series Generation. DSAA 2023: 1-2 - Raphaelle Akhras, Wassim El-Hajj, Hazem M. Hajj, Khaled B. Shaban, Rabih Jaber:
ECC: Enhancing Smart Grid Communication with Ethereum Blockchain, Asymmetric Cryptography, and Cloud Services. DSAA 2023: 1-10 - Dimitrios Akrivousis, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas:
Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction. DSAA 2023: 1-9 - Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
PANACEA: A Neural Model Ensemble for Cyber-Threat Detection. DSAA 2023: 1-2 - Carolina Stephanie Jerônimo de Almeida, Zenilton K. G. do Patrocínio, Simon Malinowski, Silvio Jamil Ferzoli Guimarães, Guillaume Gravier:
A Novel Method for Temporal Graph Classification based on Transitive Reduction. DSAA 2023: 1-10 - Mohamed Alqadhi, Ali Alkinoon, Saeed Salem, David Mohaisen:
Understanding the Country-Level Security of Free Content Websites and their Hosting Infrastructure. DSAA 2023: 1-10 - Saeed Alqubaisi, Deepak Puthal, Joy Dutta, Ernesto Damiani:
Privacy-aware Adaptive Collaborative Learning Approach for Distributed Edge Networks. DSAA 2023: 1-10 - George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu, Hakim Hacid:
Practical Insights on Incremental Learning of New Human Physical Activity on the Edge. DSAA 2023: 1-4 - Beatriz Flamia Azevedo, Ana Maria A. C. Rocha, Ana I. Pereira:
Hybrid Approaches to Optimization and Machine Learning Methods. DSAA 2023: 1-2 - Chiara Balestra, Bin Li, Emmanuel Müller:
slidSHAPs - sliding Shapley Values for correlation-based change detection in time series. DSAA 2023: 1-10 - Sebastián Basterrech, Andrzej Kasprzak, Jan Platos, Michal Wozniak:
A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection. DSAA 2023: 1-10 - Issam Benamara, Emmanuel Viennet:
Contextual Advertising Strategy Generation via Attention and Interaction Guidance. DSAA 2023: 1-10 - Dominik Bojko, Jacek Cichon, Miroslaw Kutylowski:
Sliding Window Sampling over Data Stream - a Solution Based on Devil's Staircases. DSAA 2023: 1-9 - Chiyu Cai, Wei Wang, Yuan Jiang:
Adaptive Clustered Federated Learning with Representation Similarity. DSAA 2023: 1-8 - Albert Calvo, Santiago Escuder, Josep Escrig, Marta Arias, Nil Ortiz, Jordi Guijarro:
A Data-driven Approach for Risk Exposure Analysis in Enterprise Security. DSAA 2023: 1-9 - Zefeng Chen, Wensheng Gan, Gengsen Huang, Yanxin Zheng, Philip S. Yu:
Towards Contiguous Sequences in Uncertain Data. DSAA 2023: 1-10 - Pei-Chang Chen, Hao-Shang Ma, Jen-Wei Huang:
Natural Language Inference by Integrating Deep and Shallow Representations with Knowledge Distillation. DSAA 2023: 1-10 - Xiyao Cheng, Yuanxun Zhang, Harsh Joshi, Mayank Kejriwal, Prasad Calyam:
Knowledge Graph-based Embedding for Connecting Scholars in Academic Social Networks. DSAA 2023: 1-10 - Srivas Chennu, Andrew Maher, Christian Pangerl, Subash Prabanantham, Jae Hyeon Bae, Jamie Martin, Bud Goswami:
Rapid and Scalable Bayesian AB Testing. DSAA 2023: 1-10 - Zhen Yuen Chong, Yaping Zhao, Zhongrui Wang, Edmund Y. Lam:
Solving Inverse Problems in Compressive Imaging with Score-Based Generative Models. DSAA 2023: 1-10 - Fatoumata Dama, Christine Sinoquet, Corinne Lejus-Bourdeau:
A Framework for Context-Sensitive Prediction in Time Series - Feasibility Study for Data-Driven Simulation in Medicine. DSAA 2023: 1-12 - Youxingzhu Deng, Yipeng Zhou, Gang Liu, Jessie Hui Wang, Shui Yu:
Enhancing Federated Learning by One-Shot Transferring of Intermediate Features from Clients. DSAA 2023: 1-11 - Soudabeh Taghian Dinani, Doina Caragea:
Disaster Image Classification Using Pre-trained Transformer and Contrastive Learning Models. DSAA 2023: 1-11 - Youcef Djenouri, Ahmed Nabil Belbachir:
Empowering Urban Connectivity in Smart Cities using Federated Intrusion Detection. DSAA 2023: 1-9 - Grzegorz Dudek:
Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality. DSAA 2023: 1-10 - Ashutosh Dhar Dwivedi, Subhayu Dutta, Subhrangshu Adhikary, Jens Myrup Pedersen:
Price Prediction of Digital Currencies using Machine Learning. DSAA 2023: 1-9 - Fahim Faisal, Carson K. Leung, Noman Mohammed, Yang Wang:
Privacy-Preserving Learning via Data and Knowledge Distillation. DSAA 2023: 1-10 - Alessandro Falcetta, Massimo Pavan, Stefano Canali, Viola Schiaffonati, Manuel Roveri:
To Personalize or Not To Personalize? Soft Personalization and the Ethics of ML for Health. DSAA 2023: 1-10